Skip to main content

Solids of Revolution: The Washer Method

 

Introduction

Imagine for a moment that you work for a chocolate factory and help to create new treats. You’re very good at your job and have developed a design for a new candy consisting of a chocolate shell with a caramel-filled cavity. You want the outside of the shell to be 1.5 inches tall and have the same curve as the equation \( f(x)=- \frac{1}{9}\ x^2+ \frac{3}{4}\ \). You also need there to be an opening in the center for the filling, which you want to have the same curve as \( g(x)= \frac{1}{2}\ - \frac{1}{2}\ e^{-x} \). There’s only one problem: before you can begin manufacturing your masterpiece, your boss wants to know what the volume of this candy is so he can order the correct amount of chocolate. Is there a way to calculate the volume of such a complicated shape? Fortunately, there is, with a little help from calculus.

What is the Washer Method?

As discussed above, we know the wall of our solid will consist of the space between the following two curves. Since it must be 1.5 inches tall, we will only look at the interval \( 0 \leq x \leq 1.5 \):

Imagine rotating the area between these curves around the x-axis – that would give us the solid we are trying to create! The washer method is a way to calculate the volume of such a solid by dividing it into disks (or washers in this case, since there is a hole in the middle) and adding up the volumes of those disks. First we'll use the washer method to get an estimate of our shape’s volume by dividing our solid into 10 washers. Since our interval is 1.5 inches long, this means that each washer will have the following height: \[ h=1.5 \div 10=0.15 \ \textrm{inches} \]

For our first washer, we start at \( x=0 \). At this point, the distance from the center to the outer wall (in other words, the outer radius) is: \( f(x)=- \frac{1}{9}\ (0)^2+ \frac{3}{4}\ = \frac{3}{4}\ \) inches wide. Similarly, the hole at the center has a radius of \( g(x)= \frac{1}{2}\ - \frac{1}{2}\ e^0=0 \) inches. This means our first washer is a disk of radius 0.75 inches with a hole of radius 0 inches. This is a cylinder we can easily compute the volume of: \[ V_1=( \pi (0.75)^2 \cdot 0.15)-( \pi (0)^2 \cdot 0.15)=0.265 \ \textrm{in}^2 \]

That’s one washer done. By following the same steps, we can compute the volume for all 10 washers along our interval:

By creating these washers, we’ve developed an approximation of our solid that looks like the model below. The model is 1.5 inches tall at its tallest point and 1.5 inches wide at its widest point:

Now we can simply add these up to get the total volume! Doing this, we get \( 1.898 \ \textrm{inches}^2 \). Remember, however, that this is not the exact volume because the edges of the solid above are not smooth exacltly like our equations- it is an approximation.

Applying the Washer Method

So far, we have an estimate of our solid’s volume. We know that the more washers we use to calculate the volume, the more accurate our calculations will be since they will follow the curve of our equations more closely. As you know, integrating a function over an interval is like adding an infinite number of rectangles to calculate the area beneath the function. Thus, we can do the same thing for our solid by using integration in our equation for the volume of a washer.

Therefore, the equation we used earlier to calculate the volume of one washer \[ V= \pi R^2h- \pi r^2h= \pi h(R^2-r^2) \] becomes \[ V= \pi \int_{a}^{b} (R^2-r^2) \,dx \] where \( R \) represents the radius for the outer edge and \( r \) represents the radius for the inner cavity on the interval \( a \leq x \leq b \) .

Using this equation on our example from before, we get the following integral: \[ \pi \int_{0}^{1.5} (f(x)^2-g(x)^2) \,dx = \pi \int_{0}^{1.5} \Big( (- \frac{1}{9}\ x^2+ \frac{3}{4}\ )^2-( \frac{1}{2}\ - \frac{1}{2}\ e^{-x})^2 \Big) \,dx \] All that’s left to do is evaluate the integral. \[ \pi \int_{0}^{1.5} \Big( \frac{1}{81}\ x^3- \frac{1}{6}\ x^2+ \frac{9}{16}\ -( \frac{1}{4}\ - \frac{1}{2}\ e^{-x}+ \frac{1}{4}\ e^{-2x}) \Big) \,dx \] \[ = \pi \int_{0}^{1.5} \Big( \frac{1}{81}\ x^3- \frac{1}{6}\ x^2+ \frac{5}{16}\ + \frac{1}{2}\ e^{-x}- \frac{1}{4}\ e^{-2x} \Big) \,dx \] \[ \pi \Big[ \frac{1}{405}\ x^4- \frac{1}{18}\ x^3+ \frac{5}{16}\ x- \frac{1}{2}\ e^{-x}+ \frac{1}{8}\ e^{-2x} \Big] \] \[ \pi \bigg[ \frac{(1.5)^4}{405}\ - \frac{(1.5)^3}{18}\ + \frac{5(1.5)}{16}\ - \frac{1}{2}\ e^{-1.5}+ \frac{1}{8}\ e^{-3}- \Big( \frac{0^4}{405}\ - \frac{0^3}{18}\ + \frac{5(0)}{16}\ - \frac{1}{2}\ e^0+ \frac{1}{8}\ e^0 \Big) \bigg] \] \[ =1.7896 \]

Therefore, we have determined that the volume of our solid is \( 1.7896 \ \textrm{in}^2 \) and can tell our boss exactly what volume of chocolate we need to make our candy.

Why These Functions?

The functions used in the preceding example were chosen for three primary reasons. The first and most salient of these reasons is the functions have interesting behavior that reinforces the learner’s understanding of the material. Compared to linear functions, the curving path of these functions allow the learner to observe the relationship between the functions and the changing widths of the washers on both the inside and outside of the model. Furthermore, both of the functions have steeper slopes at some point along the integral (for \( f(x) \) this increases with \( x \) and for \( g(x) \) this decreases with \( x \) ) which allows the learner to observe the relationship between the slope and the changes in the sizes of the washers. Secondly, these functions together produce a shape that students could reasonably imagine being a chocolate candy. This makes the material more approachable by providing a model of something that could (with a little imagination) serve a real-world purpose. Lastly, these functions result in an equation that is easy to integrate, making the example accessible to students who don’t remember (or struggled with) more advanced integration techniques. Thus, the example uses math that is not trivial while still keeping the focus on the new method.

Author: Sarah Bombrys

Comments

Popular posts from this blog

Do Over: Double Integrals over Regions

Introduction Over the semester we've looked at many topics and created 3D models. For this we are going to revisit an old topic, double integrals over a region. In this we found the volume of a surface in the xyz-plane bounded by two curves. From the many topics I chose to revisit this topic. I have a couple reason to why I chose to redo this. First, the model did not print correctly. The print added spaces between the rectangular prisms. Another reason was that I think the surface and curves did not represent the topic entirely. The surface I chose just increased between the curves. Improvements When making the model on Onshape there were no spaces between the rectangles, which can be seen on the right. However, when printing this spaces were being added. The second issue was with the surface I chose which was \(f(x,y)=xy+x\). This function only increased over the two curves I chose \begin{align*} f(x) &= \sqrt{x} ...

The Septoil Knot

Knots are a very interesting topic and a field that has not quite been fully discovered, so mathematicians are still discovering new ideas and invariances about knots even today. While it may seem like knots are a simple skill you learn at camp, they actually have a lot of mathematical properties and in this blog post we are going to look at just a few. By mathematical definition, a knot is a closed curve in three dimensional space that does not intersect itself. Since we are working with three dimensional space and you are reading this on a two dimensional screen, we need a way to look at knots in two dimensions and that is where knot projections come in. A knot projection is simply a picture of a knot in two dimensions and where a knot crosses itself in the projection is simply a crossing of that projection. The number of crossings of a knot is the smallest number of crossings among all projections of a knot. Since a knot is not necessarily solid, one...

Knot 10-84

Introduction In mathematics, a knot is simply a closed loop. The simplest version of this is the unknot, which is a just a closed circle (imagine a ponytail holder). Knots, however, quickly become more complicated than this more basic example. This post will examine a particular knot (knot 10-84) and a few of its knot invariants. Crossing Number Knots are often defined by their crossing number, which is the number of times the knot’s strands cross each other. As indicated in its name, knot 10-84 is a 10 crossing knot. In order to visualize the knot, we can look at its knot projection, in which the knot is represented by a line segment broken only at its undercrossings: Tricolorability Now that we’ve looked at knot crossings, we will examine a potential property of knots: tricolorability. In order to understand tricolorability, it is first important to know that one strand of a knot is defined as an unbroken line segment in the knot p...